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hietalajulius/README.md

I'm Julius, a robotics and machine learning engineer in San Francisco.

I’m a software engineer at Nimble Robotics. My work there spans reinforcement learning, Python-to-Rust policy deployment, and inference optimization. My research background is in robot learning and sim-to-real transfer.

Selected work

  • Dynamic cloth folding — learning visual feedback policies and transferring them to a physical robot. First-author IROS 2022 paper; Best Paper Award finalist.
  • Robot evaluation — contributions to the ICRA 2024 cloth competition’s evaluation tooling. Co-author of the resulting IJRR benchmark paper.

Merged upstream contributions

  • PyTorch ExecuTorch — React Native iOS LLaMA demo and native bridge.
  • tch-rs — tensor-expression fuser configuration binding for Rust.

Website · LinkedIn

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  1. dynamic-cloth-folding dynamic-cloth-folding Public

    Reinforcement learning for dynamic robotic cloth folding with visual feedback and sim-to-real transfer. IROS 2022.

    C++ 33 9

  2. Victorlouisdg/cloth-competition Victorlouisdg/cloth-competition Public

    Official repository for the ICRA 2024 Cloth Competition

    Jupyter Notebook 24 5

  3. osc_binding osc_binding Public template

    Forked from pybind/cuda_example

    Python bindings for a C++ operational-space controller for robotic manipulation, built with pybind11 and Eigen.

    C++

  4. LaurentMazare/tch-rs LaurentMazare/tch-rs Public

    Rust bindings for the C++ api of PyTorch.

    Rust 5.5k 458

  5. pytorch/executorch pytorch/executorch Public

    On-device AI across mobile, embedded and edge for PyTorch

    Python 5.1k 1.2k

  6. crabnet crabnet Public

    Neural networks from scratch in Rust: forward passes, manual backpropagation, and SGD. Companion code for an illustrated tutorial.

    Rust 6 1